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Bayesian belief network assessment using critical variables to optimize regional development based on forestry resources in West Sumatra – A literature review

Yolamalinda,A. Fauzi,M. Ekayani,L. Kolopaking

Published 2025 in IOP Conference Series: Earth and Environment

ABSTRACT

Forest management in West Sumatra since the decentralization era shows some indications of ecological, social, and economic instability. The application of forestry forms and methods in West Sumatra is considered inefficient in answering the problems of community welfare and environmental sustainability. Complex sustainability variables require comprehensive analysis to respond to the challenges of SDGs. There has been no adequate approach to answer how an effective forest management approach can meet the challenges of sustainable development in the future. Various approaches and variables are developed. Decision makers have not been fully effective in using local knowledge in forestry policies and planning. This article will discuss from the perspective of various literature how the Bayesian Belief network approach has the ability to model causal relationships of critical variables in a complex system to optimize regional development based on forestry resources in answering welfare and conservation problems in West Sumatra.

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